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1690751

汽車產業巨量資料：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030）

Big Data In The Automotive Industry - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 130 Pages | 商品交期: 2-3個工作天內

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簡介目錄

汽車產業巨量資料市場預計將從 2025 年的 69.1 億美元成長到 2030 年的 150.2 億美元，預測期內（2025-2030 年）的複合年成長率為 16.78%。

汽車產業的巨量資料-市場-IMG1

汽車產業正在透過採用從感測器到人工智慧和巨量資料分析等技術、應用和服務而發生轉變。因此，不斷有新參與企業湧入生態系統，從而推動未來汽車的持續發展。聯網汽車數量的不斷成長，加上各相關人員擴大利用汽車產生的資料，正在推動市場成長。

關鍵亮點

  • 巨量資料分析使汽車製造業能夠從 ERP 系統收集資料，並結合業務和供應鏈成員的多個功能單元的資訊。隨著網路化系統、工業物聯網和 M2M通訊的出現，汽車產業正在為工業 4.0 做好準備。感測器、RFID、條碼閱讀器和機器人現已成為工業製造車間的標準。這些設備正在倍增資料產生點的數量。
  • 家用電子電器產業很大程度受供需因素驅動。巨量資料分析的使用極大地幫助了這個行業領域，使其能夠從推動型市場策略轉變為拉動型市場策略。巨量資料分析使產業更了解消費者的行為模式，並可以據此生產計畫。隨著物聯網的發展和電子元件成為汽車不可或缺的一部分，汽車領域也出現了同樣的潛力。
  • 此外，巨量資料分析幫助汽車製造商提高銷售和行銷效率。它還透過幫助整合預測性維護和服務調度等公共產業來改善業務。它還透過分析需求預測資料來幫助汽車供應商簡化採購流程並提高成本效益。
  • 資料對於OEM來說變得越來越重要。這就是為什麼透過強力的隱私策略確保遵守一般資料保護規範 (GDPR) 至關重要。資料保護的細節，尤其是 GDPR，需要清楚了解，因為許多產業仍然不熟悉現有的法規和措施。這可能會導致與公眾的溝通不良。因此，資料保護法對於連網和自動駕駛汽車至關重要，因為自動收集的資料範圍非常廣泛。

汽車巨量資料市場趨勢

產品開發、供應鏈和製造環節佔主要佔有率

  • 在當今科技主導的企業環境中，巨量資料是製造商提高生產力和效率的關鍵驅動力之一。感測器和連網型設備的快速普及以及機器對機器 (M2M)通訊的增強，正在急劇增加汽車產業的資料點數量。
  • 雖然汽車產業在製造、行銷和供應鏈等領域採用資料分析方面取得了長足的進步，但產品本身的資料產生和分析的使用仍處於相對起步的階段。然而，隨著物聯網 (IoT) 的興起和運算技術的進步，更具成本效益的資料收集方法開始出現。
  • 聯網汽車有可能大幅改變用戶體驗。根據通訊報道，到2023年，汽車業預計將在全球生產7,630萬輛聯網汽車。我們提供設備和軟體將它們連接到雲端並產生可以提供有用見解的資料。讓汽車公司取得即時道路資料有可能加快產品開發速度，並徹底改變效能監控、產品品質維護和安全保障的方式。
  • 通用汽車是美國最大的汽車製造商，也是汽車領域使用巨量資料和分析技術的先驅。如今，汽車配備感測器和中央處理器（CPU）已很常見。透過將感測器和遠端資訊處理置於汽車的中心，通用汽車可以降低許多成本，同時提高車輛的安全性和可靠性。例如，DataFlair 聲稱遠端資訊處理是一座金礦，因為它可以為每輛車節省高達 800 美元的巨額費用。

預計亞太地區市場在預測期內將大幅成長

  • 在所有地區中，亞太地區人口最多。由於城市人口不斷成長和購買力不斷上升，亞太地區被認為是汽車行業最大的市場之一。
  • 根據中國工業協會統計，2022年4月，中國乘用車銷量約96.5萬輛，季減48%，商用車銷量約21.6萬輛，較上季下降42%。預計如此大規模的汽車銷售將為所研究的行業提供成長機會。
  • 各公司正在共同努力，提高在多個領域的影響力，以擴大市場佔有率、進入不同的市場並實現產品供應多樣化。例如，2022年6月，日本電信電話公司（NTT）與豐田汽車合作開發收集和共用資料的聯網汽車。 NTT資料網路資料部門執行執行長本間彰在受訪時表示，公司將積極考慮併購，以加速向海外市場的擴張。本間表示，該公司未來四年可能完成價值高達 4,000 億日圓（30 億美元）的交易。
  • 例如，SG Holdings Co. 的子公司佐川急便株式會社於 2021 年 6 月推出了首款電動車原型，這是其實現所有小型送貨車電氣化目標的一部分。該車輛是與Start-Ups東京的新創公司 ASF 合作製造的。該國最大的宅配服務計劃在 2030 年改用電動車，每年減少 28,000 噸二氧化碳排放。這些變化應該能夠擴大研究目標市場。

汽車產業巨量資料概述

汽車產業巨量資料市場競爭激烈，由許多全球和區域參與企業組成。這些參與企業擁有相當大的市場佔有率，並致力於擴大基本客群。這些供應商專注於研發活動、策略夥伴關係以及其他有機和無機成長策略，以在預測期內獲得競爭優勢。

2022 年 3 月，美國國家儀器公司 (NIC) 宣布收購 Heinzinger GmbH 的電子車輛系統部門。此次收購將使 NIC 擴大其在電氣化、電池測試和永續能源的能力，同時擴大基本客群。在汽車產業零件測試方面，NI 和 Heinzinger 具有高度互補的作用。這將推動汽車電氣化快速創新並實現零願景。

2022 年 1 月，為了擴大在北美的業務，Reply SpA 宣布收購 Enowa LLC，後者專門利用 SAP 技術提供諮詢和建置解決方案。 Enowa LLC 利用 SAP 技術提供附加價值服務和雲端設計。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3個月的分析師支持

目錄

第1章 引言

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概覽
  • 產業價值鏈分析
  • 產業吸引力-波特五力分析
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭強度
  • COVID-19 工業影響評估

第5章市場動態

  • 市場促進因素
    • 各相關人員加大力度利用車輛產生的資料
    • 安裝聯網汽車的數量不斷增加
  • 市場問題
    • 車輛資料保護的隱私問題和法規

第6章市場區隔

  • 按應用
    • 產品開發、供應鏈和製造
    • OEM保固、售後服務/經銷商
    • 聯網汽車和智慧交通
    • 銷售、行銷和其他用途
  • 按地區
    • 北美洲
    • 歐洲
    • 亞洲
    • 澳洲和紐西蘭
    • 拉丁美洲
    • 中東和非洲

第7章競爭格局

  • 公司簡介
    • N-iX LTD
    • Future Processing Sp.zoo
    • Reply SpA（Data Reply）
    • Phocas Ltd
    • Positive Thinking Company
    • Qburst Technologies Private Limited
    • Monixo SAS
    • Allerin Tech Private Limited
    • Driver Design Studio Limited
    • Sight Machine Inc.
    • SAS Institute Inc.
    • IBM Corporation
    • SAP SE
    • Microsoft Corporation
    • National Instruments Corp.

第8章投資分析

第9章 市場機會與未來趨勢

簡介目錄
Product Code: 71403

The Big Data Market In The Automotive Industry is expected to grow from USD 6.91 billion in 2025 to USD 15.02 billion by 2030, at a CAGR of 16.78% during the forecast period (2025-2030).

Big Data In The Automotive Industry - Market - IMG1

The automobile industry is being transformed by adopting technologies, applications, and services ranging from sensors to artificial intelligence to big data analysis; thus, the ecosystem is witnessing a steady influx of new players, resulting in the continuous evolution of the future car. Increasing efforts from various stakeholders in utilizing the vehicle-generated data coupled with a growing installed base of connected cars drive the market growth.

Key Highlights

  • Big data analytics allows the automobile manufacturing industry to collect data from ERP systems to combine information from multiple functional units of the business and the supply chain members. With the emergence of industry IoT, a networked system, and M2M communication, the automotive industry is positioning itself toward industry 4.0. Sensors, RFIDs, barcode readers, and robots are now standard on the industry's manufacturing floor. These devices have increased data generation points exponentially.
  • The consumer electronics industry is highly dependent on the demand and supply factors. The use of big data analytics helped this industry segment drastically and allowed it to switch to a pull market strategy instead of the push market strategy. With big data analytics, the industry is now more aware of consumer behavior patterns and may plan production based on these. A similar potential has been exposed in the automotive sector, with IoT evolutions and electronics components becoming an integral part of automobiles.
  • Furthermore, big data analytics helped automobile manufacturers boost their efficiency in terms of sales and marketing. It also improved its operations by aiding in the incorporation of utilities like predictive maintenance and service schedule. It also aided automotive vendors in streamlining the procurement process, making it more cost-efficient by analyzing the data for demand prediction.
  • Data is increasingly becoming crucial for OEMs. Therefore, it is essential to ensure that they comply with the General Data Protection Regulation (GDPR) through a strong privacy strategy. An evident appreciation for data protection, and in particular the details of the GDPR, are required, as many in the industry are not yet familiar with existing regulations and internal policies. This may lead to miscommunication with the public. Therefore, data protection law is important in connected and autonomous mobility because the breadth of data captured automatically is tremendous.

Big Data in Automotive Market Trends

Product Development, Supply Chain and Manufacturing Segment Accounts for a Major Share

  • Big data is one of the key drivers of productivity and efficiency for manufacturers in the contemporary technology-driven corporate climate. There has been a significant increase in the number of data points for the automobile industry due to the rapid adoption of sensors and connected devices, as well as the facilitation of machine-to-machine (M2M) communication.
  • While the car industry has made significant strides in adopting data analytics in areas such as manufacturing, marketing, and supply chain, the utilization of data generation and analysis within the product itself has been relatively nascent. However, with the increasing popularity of the Internet of Things (IoT) and advancements in computing, more cost-effective data collection methods are beginning to emerge.
  • A significant change in the user experience may result from connected automobiles. According to the Associated Press, by 2023, it is predicted that 76.3 million connected cars will be produced worldwide by the automobile industry. By offering gear and software, you can connect them to the cloud so they can generate data and gain useful insight. When automotive companies get access to real-time, on-the-road data, it speeds up product development and may revolutionize how they monitor performance, maintain product quality, and ensure safety.
  • The largest American automaker, General Motors, was a pioneer in the use of big data and analytics in the automotive sector. These days, sensors and central processing units (CPUs) in cars are the norm. With sensors and telematics within the automobile as its focus, General Motors can save a lot of money while also improving the safety and dependability of its vehicles. For instance, DataFlair claims that telematics is like a gold mine because it offers significant savings of up to USD 800 per vehicle.

Asia Pacific Segment is Expected to Grow at a Significant Rate Over the Forecast Period

  • Of all the regions, the Asia-Pacific has the largest population. Asia-Pacific is regarded as one of the biggest markets for the automotive industry due to the region's growing urban population and rising purchasing power.
  • Around 965,000 passenger cars and 216,000 commercial vehicles were sold in China in April 2022, according to the China Association of Automobile Manufacturers (CAAM); these figures reflect a 48% and a 42% reduction, respectively, from the previous month. Such massive vehicle sales are anticipated to present a growth opportunity for the sector under investigation.
  • Businesses are working together to grow their presence in numerous areas to increase their market share, penetrate diverse markets, and diversify their product offerings. For instance, in June 2022, Nippon Telegraph & Telephone (NTT) and Toyota Motor collaborated to develop connected cars to collect and share data. Yo Honma, the chief executive of NTT's data networking and data division, stated in an interview that the business would actively investigate mergers and acquisitions to hasten its drive into foreign markets. According to Honma, the company could spend as much as JPY 400 billion (USD 3 billion) on deals over the next four years.
  • For instance, Sagawa Express Co. of SG Holdings Co. debuted a prototype of its first electric vehicle in June 2021 as part of its goal to electrify all small delivery vans. This vehicle was constructed in collaboration with the Tokyo startup ASF. The biggest delivery service in the country intends to switch to electric vehicles by 2030 and reduce its CO2 emissions by 28,000 tonnes yearly. These changes should make it possible for the market under study to expand.

Big Data in Automotive Industry Overview

The big data market in the automotive industry is competitive and consists of many global and regional players. These players account for a considerable market share and focus on expanding their customer base. These vendors focus on research and development activities, strategic partnerships, and other organic and inorganic growth strategies to earn a competitive edge over the forecast period.

In March 2022, the purchase of Heinzinger GmbH's electronic vehicle systems division by National Instruments Corporation (NIC) was made public. The acquisition would increase NIC's capacity for electrification, battery testing, and sustainable energy while increasing its customer base. When it comes to testing automotive industry components, NI and Heinzinger play roles that are extremely complementary to one another. This allows for quick innovation to electrify vehicles and achieve vision zero.

In January 2022, to increase its footprint in North America, Reply SpA announced the acquisition of Enowa LLC, a business that specializes in advising and building solutions based on SAP technology. Enowa LLC uses SAP technology to provide value-added services and cloud design.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Bargaining Power of Suppliers
    • 4.3.2 Bargaining Power of Buyers
    • 4.3.3 Threat of New Entrants
    • 4.3.4 Threat of Substitutes
    • 4.3.5 Intensity of Competitive Rivalry
  • 4.4 Assessment of the Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Efforts from Various Stakeholders in Utilizing the Vehicle Generated Data
    • 5.1.2 Growing Installed-Base of Connected Cars
  • 5.2 Market Challenges
    • 5.2.1 Privacy Issues and Regulations on Vehicle Data Protection

6 MARKET SEGMENTATION

  • 6.1 By Application
    • 6.1.1 Product Development, Supply Chain and Manufacturing
    • 6.1.2 OEM Warranty and Aftersales/Dealers
    • 6.1.3 Connected Vehicle and Intelligent Transportation
    • 6.1.4 Sales, Marketing and Other Applications
  • 6.2 By Geography
    • 6.2.1 North America
    • 6.2.2 Europe
    • 6.2.3 Asia
    • 6.2.4 Australia and New Zealand
    • 6.2.5 Latin America
    • 6.2.6 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 N-iX LTD
    • 7.1.2 Future Processing Sp.z.o.o
    • 7.1.3 Reply SpA (Data Reply)
    • 7.1.4 Phocas Ltd
    • 7.1.5 Positive Thinking Company
    • 7.1.6 Qburst Technologies Private Limited
    • 7.1.7 Monixo SAS
    • 7.1.8 Allerin Tech Private Limited
    • 7.1.9 Driver Design Studio Limited
    • 7.1.10 Sight Machine Inc.
    • 7.1.11 SAS Institute Inc.
    • 7.1.12 IBM Corporation
    • 7.1.13 SAP SE
    • 7.1.14 Microsoft Corporation
    • 7.1.15 National Instruments Corp.

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS